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A Comparative Study on Genetic Algorithm and Ant Colony Optimization in Resource Location Optimization

A Comparative Study on Genetic Algorithm and Ant Colony Opti...

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Hang Zhou Xiao-Bing Hu CAUC-ENAC Joint Research Center of Applied Mathematics for Air Traffic Management CAUC Sino-European Institute of Aviation Engineering Civil Aviation University of China (CAUC) Tianjin China CAUC-ENAC Joint Research Center of Applied Mathematics for Air Traffic Management CAUC College of Electronic Information and Automation CAUC Tianjin China

The following topics are dealt with: learning (artificial intelligence); evolutionary computation; genetic algorithms; deep learning (artificial intelligence); neural nets; pattern classification; optimisation; featur... 详细信息

ISBN: (数字)9781728125473

ISBN: (纸本)9781728125480

关键词： Genetic algorithms Biological cells Optimization Mathematical model Linear programming Genetics Urban areas

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Optimum Design of Fractional Order PID controller for a Servo System Using Hybrid Intelligent Algorithm 12

Optimum Design of Fractional Order PID Controller for a Serv...

引用

12th International symposium on computational intelligence and Design (ISCID)

作者： Xiao, Yuhe Li, Maojun Changsha Univ Sci & Technol Sch Elect & Informat Engn Changsha Peoples R China

ISBN: (数字)9781728146539

ISBN: (纸本)9781728146522

As servo control system is applied more and more widely in engineering, its response speed, tracking accuracy and adaptability to complex environment have higher requirements. In order to achieve these goals, this paper proposes an improved Chicken Swarm-Particle Swarm hybrid algorithm and applies it to the parameter tuning of fractionalorder YID, that is, to obtain the optimal parameters through global search, and then to complete the design of the optimal FOPID controller. Compared with the other three intelligent optimization algorithms, the simulation results show that the SCPSO optimized FOPID controller has better response performance, anti-interference ability and robustness.

关键词： servo control system Fractional-order PID controller genetic algorithm based on the State-space parameters tuning

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Monotonic Normalized Radial Basis Function Networks

Monotonic Normalized Radial Basis Function Networks

引用

ieee symposium Series on computational intelligence (SSCI)

作者： Husek, Petr Czech Tech Univ Dept Control Engn Fac Elect Engn Tech 2 Prague 16627 6 Czech Republic

ISBN: (纸本)9781728124858

In the paper we address the problem of deriving monotonicity conditions for normalized radial basis function networks. For general shape of the kernels the necessary conditions are expressed as trivial inequalities imposed on the kernel weights together with set of linear inequalities on elements of matrices describing the kernels. If the shape is considered to be the same for all kernels the conditions become simple and intuitive. Two examples are given to demonstrate benefit of incorporation of information about monotonicity.

关键词： Radial basis function networks Prior knowledge Monotonic regression Least square approximation

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Measurements of Harmonics and Transfer Time in the Electrical Connection of the General Management Department of Construction and Hydraulic Operation of Mexico State

Measurements of Harmonics and Transfer Time in the Electrica...

引用

ieee International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)

作者： Cisneros-Villalobos, L. Valle-Morales, S., I Tecpoyotl-Torres, M. Univ Autonoma Estado Morelos UAEM FCQel UAEM Fac Ciencias Quim & Ingn Av Univ 1001 Cuernavaca Morelos Mexico Univ Autonoma Estado Morelos UAEM CIICAp IICBA Ctr Invest Ingn & Ciencias Aplicadas Av Univ 1001 Cuernavaca Morelos Mexico

ISBN: (纸本)9781728199047

This article provides an analysis of harmonics existing in the electrical installation at the plant "Chiconautla", dependent on the General Management Department of Construction and Hydraulic Operation of Mexico State (DGCOH). For electrical power quality studies, monitoring equipment was initially installed at the Point of common coupling, to obtain the maximum average values of the total distortion harmonics of voltage and current. This monitoring is important, due to these signals must meet the standards established by regulatory organizations, to improve the energy quality, reduce costs and to avoid electric equipment's failures. It can he determined that the main contributions to these distortions are third, fifth and seventh harmonics. The time of transfer given by the automatic transfer equipment, was measured when failures in the network occurred. It can be said that all measurement satisfies the requirements of network code. Some recommendations are given to improve the performance of the system.

关键词： Power quality transfer time power system harmonics network code control system

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Semi-supervised Image Segmentation Based on K- means Algorithm and Random Walk

Semi-supervised Image Segmentation Based on K- means Algorit...

引用

2019 ieee symposium Series on computational intelligence, SSCI 2019

作者： Xiumei, Cai Jingwei, Bian Yan, Wang Qiaoqiao, Cui Xi'an University of Posts and Telecommunications School of Automation Xi'an710121 China

ISBN: (纸本)9781728124858

Semi-supervised image segmentation is a process of classifying unlabeled pixels using known labeling information. In order to realize image segmentation, solve the problem of setting a large number of seed points in the random walk algorithm, and solve the local optimization problem in the K- means algorithm, this paper proposes a semi-supervised image segmentation algorithm based on the K-means algorithm and random walk. Firstly, the K-means algorithm is used for clustering to determine the clustering center, then, the transfer probability from each unlabeled pixel to the seed point is calculated based on the random walk algorithm, and the image segmentation is completed according to the transfer probability. It can be seen from the experimental results that the segmentation accuracy is greatly improved and the effectiveness of this paper is verified. © 2019 ieee.

关键词： Image segmentation

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Edge-Cloud Architectures Using UAVs Dedicated to Industrial IoT Monitoring and control Applications

Edge-Cloud Architectures Using UAVs Dedicated to Industrial ...

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2020 International symposium on Advanced Electrical and Communication Technologies, ISAECT 2020

作者： Salhaoui, Marouane Gonzalez, Antonio Guerrero Arioua, Mounir Molina, Juan Carlos Molina Ortiz, Francisco J. Oualkadi, Ahmed El Universidad Politécnica de Cartagena Plaza Del Hospital 1 Electrical Engineering and Electronic Technology Department of Automation Cartagena30202 Spain Tangier Morocco

ISBN: (纸本)9781665422222

The deployment of new technologies to ease the control and management of a massive data volume and its uncertainty is a very significant challenge in the industry. Under the name 'Smart Factory', the Industrial Internet of Things (IoT) aims to send data from systems that monitor and control the physical world to data processing systems for which cloud computing has proven to be an important tool to meet processing needs. unmanned aerial vehicles (UAVs) are now being introduced as part of IIoT and can perform important tasks. UAVs are now considered one of the best remote sensing techniques for collecting data over large areas. In the field of fog and edge computing, the IoT gateway connects various objects and sensors to the Internet. It function as a common interface for different networks and support different communication protocols. Edge intelligence is expected to replace Deep Learning (DL) computing in the cloud, providing a variety of distributed, low-latency and reliable intelligent services. In this paper, An unmanned aerial vehicle is automatically integrated into an industrial control system through an IoT gateway platform. Rather than sending photos from the UAV to the cloud for processing, an AI cloud trained model is deployed in the IoT gateway and used to process the taken photos. This model is designed to overcome the latency channels of the cloud computing architecture. The results show that the monitoring and tracking process using advanced computing in the IoT gateway is significantly faster than in the cloud. © 2020 ieee.

关键词： Edge computing

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The Modeling and Prediction of Strapdown Inertial Measurement Unit based on Support Vector Regression and Particle Swarm Optimization

The Modeling and Prediction of Strapdown Inertial Measuremen...

引用

2019 ieee symposium Series on computational intelligence, SSCI 2019

作者： Li, Shuying Diwu, Xuan Li, Yiran Xi'an University of Posts and Telecommunications School of Automation Xi'an China

ISBN: (纸本)9781728124858

Strapdown inertial measurement unit (SIMU) installed in a vehicle determines the navigation accuracy of the vehicle. However, the stability of SIMU changes with the storage time passing by, which influences the navigation accuracy of the vehicle. Thus, it is very necessary to establish a predication model which can predict the stability of SIMU and evaluate the performance of SIMU. This paper proposes a method to predict the SIMU stability. This algorithm is based on support vector regression and particle swarm optimization. The results expressed that support vector regression and particle swarm optimization can forecast the changing trend of SIMU accurately, which can provide the theoretical basis for evaluating the SIMU's performance. © 2019 ieee.

关键词： Vehicles

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The observability of T-S Fuzzy Boolean control Networks 12

The observability of T-S Fuzzy Boolean Control Networks

引用

12th International symposium on computational intelligence and Design (ISCID)

作者： He, Yun Li, Junmin Xidian Univ Sch Math & Stat Xian Peoples R China Shaanxi Xuegian Normal Univ Sch Math & Stat Xian Peoples R China

ISBN: (数字)9781728146539

ISBN: (纸本)9781728146522

This paper investigates the observability of a T-S fuzzy Boolean network with the time varying time delay. First, using the theory of semi-tensor product of matrices, the logical systems can be converted into a discrete time dynamical systems. Then, the necessary and sufficient conditions of the observability for a fuzzy Boolean networks via two kinds of inputs are proved ,respectively.

关键词： T-S fuzzy Boolean network observability semi-tensor product

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Cascade control Solutions for Level control of Vertical Three Tank Systems 13

Cascade Control Solutions for Level Control of Vertical Thre...

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ieee 13th International symposium on Applied computational intelligence and Informatics (SACI)

作者： Hedrea, Elena-Lorena Precup, Radu-Emil Bojan-Dragos, Claudia-Adina Hedrea, Ciprian Ples, Denisa Popovici, Daniela Politehn Univ Timisoara Autom Appl Informat Dept Timisoara Romania Politehn Univ Timisoara Dept Math Timisoara Romania Politehn Univ Timisoara Autom Comput Fac Timisoara Romania

ISBN: (纸本)9781728106854

This paper presents the design and validation of two cascade control system (CCS) structures for the level control of vertical three tank systems. The first CCS structure consists of a state feedback controller in the inner control loop and a Proportional-Integral-Derivative (PID) controller in the outer control loop and the second CCS structure consists of a Tensor Product-based controller in the inner control loop and a PID controller in the outer control loop. The simulation results validate the suggested control structures Finally a comparative study is also given.

关键词： cascade control system structures PID controllers TP-based controllers vertical three tank systems

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Induction Radius-Based Hierarchical Flocking Algorithm for UAVs Clustering

Induction Radius-Based Hierarchical Flocking Algorithm for U...

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ieee symposium Series on computational intelligence (SSCI)

作者： Qiao, Xuhui Xu, Ziqiang Luo, Yanhong Sun, Yifan Liu, Yuxuan Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China

ISBN: (纸本)9781728124858

In this paper, a modified Reynold flocking algorithm is proposed based on the similarity between formation flying of UAVs and the behavior of biological groups. As the number of UAVs increasing, the UAVs far away from the leader cannot get good flocking effects due to time lag and communication failure. Therefore, in order to get better performance, a new hierarchical control approach is firstly developed according to the induction radius of leaders. The UAVs within the leader's induction radius follow the leader, while the UAVs outside the radius follow the second-level UAVs. Then an artificial potential field function is further constructed to keep the UAV separated and aggregated, so that the UAVs can realize the obstacle avoidance. Finally, it is verified by simulation that the UAVs can realize the expected formation under the proposed hierarchical flocking algorithm.

关键词： flocking clustering formation control UAVs

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